dnanexus-integration

Automate DNAnexus applet deployment and data management using dxpy.

75|7|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/jiaxiaojunQAQ/SkillJect --skill dnanexus-integration-jiaxiaojunqaq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/jiaxiaojunQAQ/SkillJect/tree/main/data/skills_sample/dnanexus-integration
Command: npx skills add https://github.com/jiaxiaojunQAQ/SkillJect --skill dnanexus-integration-jiaxiaojunqaq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

DNAnexus provides a cloud genomics platform; this skill helps teams automate applet development, data management, and workflow execution using the dxpy Python SDK to streamline genomics pipelines.

Core Features & Use Cases

  • App development and deployment with dxpy for building and running apps/applets on the DNAnexus platform.
  • Data operations and workflow orchestration: uploading/downloading data, managing projects, and running multi-step analyses.
  • Real-world use case: a genomics team deploys an analysis pipeline that downloads FASTQ data, runs alignment, and stores results back to a project.

Quick Start

Authenticate to DNAnexus and begin building, deploying, and managing apps and workflows using dxpy.

Frequently Asked Questions about dnanexus-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate DNAnexus applet deployment using dxpy?

Automate DNAnexus applet deployment using dxpy by leveraging the Python SDK to build, configure, and push applets to the cloud platform programmatically. This skill streamlines the app development lifecycle for genomics workflows.

How do I upload and manage genomics data in a DNAnexus project?

Upload and manage genomics data in a DNAnexus project using dxpy data operations to handle files and organize projects. This skill provides configuration guidance for orchestrating data within cloud environments.

What is the best way to orchestrate a multi-step bioinformatics workflow on DNAnexus?

The best way to orchestrate multi-step bioinformatics workflows on DNAnexus is using dxpy-driven pipelines to coordinate analyses like downloading FASTQ data, running alignment, and storing results back to projects.

Can I use dxpy to run a complete genomics pipeline from FASTQ download to result storage?

Yes, you can use dxpy to run a complete genomics pipeline that downloads FASTQ data, executes alignment processes, and stores the final results back into a designated DNAnexus project.

Does this approach support building and running both apps and applets on the DNAnexus platform?

Yes, this dxpy approach supports building and running both apps and applets on the DNAnexus platform, covering end-to-end capabilities for app development, data operations, and workflow execution.